library(tidyverse)
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library(p8105.datasets)

library(plotly)
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data(nyc_airbnb)

nyc_airbnb = 
  nyc_airbnb %>% 
  mutate(rating = review_scores_location / 2) %>%
  select(
    neighbourhood_group, neighbourhood, rating, price, room_type, lat, long) %>%
  filter(
    !is.na(rating), 
    neighbourhood_group == "Manhattan",
    room_type == "Entire home/apt",
    price %in% 100:500)

make a scatter plot

nyc_airbnb|>
  mutate(text_label = str_c("Price: $", price, "\nRating: ", rating))|>
  plot_ly(
    x = ~lat, y = ~long, type = "scatter", mode = "markers",
    color = ~price, text = ~text_label, alpha = 0.5
  )
nyc_airbnb|>
  mutate(neighbourhood = fct_reorder(neighbourhood, price))|>
  plot_ly(
    y = ~price, color = ~neighbourhood, type = "box"
  )
## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
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## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
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nyc_airbnb|>
  count(neighbourhood)|>
  mutate(neighbourhood = fct_reorder(neighbourhood, n)) |>
  plot_ly(x = ~neighbourhood, y = ~n, color = ~neighbourhood, type = "bar")
## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
## Returning the palette you asked for with that many colors

## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
## Returning the palette you asked for with that many colors
scatter_ggplot = 
  nyc_airbnb |>
  ggplot(aes(x = lat, y = long, color = price)) +
  geom_point(alpha = 0.25) +
  coord_cartesian()

ggplotly(scatter_ggplot)